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Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

Network:Machine Learning with Python India9 343 Technologies & Applications3 279...

📈 Analytical overview of Telegram channel Learn Python Coding

Channel Learn Python Coding (@pythonre) in the English language segment is an active participant. Currently, the community unites 40 900 subscribers, ranking 3 279 in the Technologies & Applications category and 9 343 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 900 subscribers.

According to the latest data from 25 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 455 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 3.41%. Within the first 24 hours after publication, content typically collects 1.49% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 395 views. Within the first day, a publication typically gains 608 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
Thematic interests: Content is focused on key topics such as math, harvard, oxford, supervision, waybienad.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 26 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

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40 900

Subscribers

+324 hours

+277 days

+45530 days

1 395

Post views

~ 60824 hours

~ 95248 hours

3.41%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

40 900

Repost from Machine Learning with Python

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40 900

Repost from Machine Learning with Python

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40 900

🧲 The exercise is done. The habit is what you cannot see. You solve the task, the tests pass, and nobody tells you that the pattern you just used will fall apart at scale. Create your own AI agent inside Telegram in about a minute and put it next to your practice. ▫️ paste a solution and get the review: correctness first, then the habit worth changing ▫️ ask for a harder version of the same task and it writes one ▫️ send a traceback and get the cause, not a search result ▫️ writes a runnable script whenever the explanation is not enough ▫️ remembers which topics you already closed and which you keep failing ▫️ voice in, voice out — say the algorithm out loud and it corrects you Setup takes a minute: open the link, start the free trial, name your agent. 30 days free, no card needed. 🧲 Create your agent

40 900

Repost from Machine Learning with Python

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40 900

Repost from Udemy Free

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40 900

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40 900

Why identical arguments can create different entries in `lru_cache`? 🤔 The lru_cache creates a key not only from the values of the arguments, but also from the way they are passed.

load(True)
load(debug=True)

Although both calls pass the same value, for the cache, these are different keys, so the function will be executed twice.

print(load.cache_info())
# CacheInfo(hits=0, misses=2, ...)

The order of named arguments can also affect how an entry is created in the cache.

func(a=1, b=2)
func(b=2, a=1)

Therefore, it is best to call cached functions in a consistent style: either by position or by name, in the same order.

load(debug=True)
load(debug=True)

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40 900

I've found a real goldmine for those preparing for interviews at FAANG companies. "Complete FAANG Preparation" has over 12,000 items and includes: → DSA (Data Structures and Algorithms) — 450 problems from Love Babbar, Striver's sheet, and Apna College's sheet. → Computer Science Fundamentals — Operating Systems, Databases, SQL, Computer Networks, Object-Oriented Programming. → System Design — Low-Level Design (LLD) and High-Level Design (HLD). → Logic problems, tests, and puzzles in C++, Python, Java, and JavaScript. It's all in one repository, and it contains practically everything you need. https://github.com/AkashSingh3031/The-Complete-FAANG-Preparation

40 900

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40 900

A unique experience, I recommend you try it.

40 900

Personal AI assistant in 5 minutes No code. No card. Free 😳 Works in Telegram, WhatsApp, or Discord — just send it tasks by voice or text. It gets things done, not just tells you how to do them.

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40 900

• reads and sends emails • creates and edits Google Sheets • uploads files to Google Drive • works in Notion • sends reminders • generates PDFs, images, and videos • actually makes life and work easier

✅ Create your personal AI assistant here → getamplify.team

40 900

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40 900

Repost from Udemy Free

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